Sure Independence Screening

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Documentation for package ‘SIS’ version 1.5

• DESCRIPTION file
• User guides, package vignettes and other documentation

Help Pages

boot_sis	Calculates confidence intervals by using the quantile bootstrap approach.
leukemia.test	Gene expression Leukemia test data set from Golub et al. (1999)
leukemia.train	Gene expression Leukemia training data set from Golub et al. (1999)
predict.SIS	Model prediction based on a fitted SIS object.
prostate.test	Gene expression Prostate Cancer test data set from Singh et al. (2002)
prostate.train	Gene expression Prostate Cancer training data set from Singh et al. (2002)
SIS	(Iterative) Sure Independence Screening ((I)SIS) and Fitting in Generalized Linear Models and Cox's Proportional Hazards Models
standardize	Standardization of High-Dimensional Design Matrices
tune.fit	Using the 'glmnet', 'ncvreg', 'msaenet', and 'gcdnet' packages plus an internal Cox adaptive elastic-net implementation, fits a Generalized Linear Model or Cox Proportional Hazards Model using various methods for choosing the regularization parameter lambda